2022 Fall
COMPSCI C8 001 - LEC 001
Formerly Computer Science C8/Statistics C8/Information C8
Foundations of Data Science
Swupnil K Sahai, John DeNero
Class #:24956
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Hours & Workload
3 hours of instructor presentation of course materials per week, 7 hours of outside work hours per week, and 2 hours of instructional experiences requiring special laboratory equipment and facilities per week.
Final Exam
THU, DECEMBER 15TH
03:00 pm - 06:00 pm
RSF Fieldhouse
Valley Life Sciences 2060
Valley Life Sciences 2040
Physics Building 1
Valley Life Sciences 2050
Dwinelle 155
Wheeler 150
Mulford 159
Social Sciences Building 170
Giannini 141
Social Sciences Building 140
Social Sciences Building 56
Wheeler 20
Wurster 102
Dwinelle 183
Other classes by Swupnil K Sahai
Other classes by John DeNero
Course Catalog Description
Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
Class Notes
Interested students need to enroll in DATA C8. This is a cross listed class and Data Science is managing all enrollments.
Rules & Requirements
Credit Restrictions
Students will receive no credit for DATA C8\COMPSCI C8\INFO C8\STAT C8 after completing COMPSCI 8, or DATA 8. A deficient grade in DATA C8\COMPSCI C8\INFO C8\STAT C8 may be removed by taking COMPSCI 8, COMPSCI 8, or DATA 8.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None